How to Use GitHub Copilot to Save 20 Hours of Coding Time in 2026

As a solo founder or indie hacker, time is your most valuable resource. You might find yourself spending hours on repetitive coding tasks that could easily be automated. Enter GitHub Copilot, an AI-powered coding assistant that promises to save you time and effort. But does it really live up to the hype? In 2026, we've put Copilot to the test and found that it can indeed help save around 20 hours of coding time a month. Here’s how.

What is GitHub Copilot?

GitHub Copilot is an AI pair programmer that suggests code snippets and entire functions as you type. Think of it as your coding buddy that’s always ready to help, leveraging the vast amount of code it has been trained on.

• Pricing: $10/month or $100/year
• Best for: Developers looking to speed up their coding process, especially for repetitive tasks or boilerplate code.
• Limitations: It may generate incorrect or insecure code, and it doesn't understand the full context of your project.
• Our take: We've used Copilot extensively in our projects and found it useful for speeding up mundane tasks, but we double-check its outputs due to occasional inaccuracies.

Prerequisites to Get Started

Before diving into Copilot, you’ll need:

• A GitHub account (Free)
• Visual Studio Code (Free)
• GitHub Copilot subscription ($10/month)

Setting Up GitHub Copilot

1. Install Visual Studio Code: Download and install Visual Studio Code.
2. Sign Up for GitHub: Create a free GitHub account if you don’t have one.
3. Install the Copilot Extension: In VS Code, go to Extensions (or hit Ctrl+Shift+X), search for "GitHub Copilot," and install it.
4. Authenticate: Sign in with your GitHub credentials to activate the Copilot extension.

How to Use GitHub Copilot Effectively

1. Utilize Contextual Suggestions

As you start typing, Copilot will begin suggesting code snippets based on your context. Use it to complete functions, generate boilerplate code, or even write comments.

Expected Output: It will show suggestions inline as you type. You can accept a suggestion by pressing Tab.

2. Generate Test Cases

Copilot can help you write unit tests. If you have a function, simply start typing a test case, and it’ll suggest a complete test function.

Expected Output: A full test case for your function, ensuring your code is robust.

3. Refactor Code

When you’re looking to improve existing code, highlight the section and ask Copilot for suggestions. It can propose a more efficient way to write your logic.

Expected Output: A refactored version of your code, often improving readability and performance.

4. Troubleshooting Common Issues

While Copilot is powerful, it’s not perfect. Here are common issues and how to troubleshoot them:

• Incorrect Suggestions: Always review the code it generates. If it seems off, try rephrasing your prompt or providing more context.
• Limited Context Understanding: If Copilot doesn’t understand your project structure, consider adding comments or documentation to guide it.

5. Measure Your Time Savings

To quantify your time savings, track how long you spend on coding tasks with and without Copilot. You might be surprised to find that it saves you at least 20 hours a month, especially on repetitive or boilerplate code.

Expected Output: A time log showing a significant decrease in hours spent coding.

What We Actually Use

We’ve integrated GitHub Copilot into our daily workflow for tasks like generating boilerplate code, writing tests, and even refactoring. Here’s a quick summary of our real stack:

• GitHub Copilot: For code suggestions and speed.
• Visual Studio Code: Our primary IDE.
• Postman: For API testing.

Conclusion: Start Here

If you’re looking to reclaim your time and improve your productivity, GitHub Copilot is a solid investment. It’s not without its limitations, but with careful use and double-checking of its suggestions, you can significantly cut down on coding hours.

To get started, sign up for GitHub Copilot today, and watch your coding efficiency soar.